Colorectal Histology Tumor Detection Using Ensemble Deep Neural Network

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

Artificial neural networks in microgrids: A review

(2020) Tania B. Lopez-Garcia et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Brain tumor diagnosis based on metaheuristics and deep learning

(2020) An Hu et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

(2019) Jakob Nikolas Kather et al.   PLOS MEDICINE

Deep learning with convolutional neural network in radiology

(2018) Koichiro Yasaka et al.   JAPANESE JOURNAL OF RADIOLOGY

Deep learning with convolutional neural network in radiology

(2018) Koichiro Yasaka et al.   Japanese Journal of Radiology

Classification of colorectal cancer based on the association of multidimensional and multiresolution features

(2018) Matheus Gonçalves Ribeiro et al.   EXPERT SYSTEMS WITH APPLICATIONS

Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images

(2018) Can Taylan Sari et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Feature selection for high dimensional imbalanced class data using harmony search

(2017) Alireza Moayedikia et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel data clustering algorithm based on modified gravitational search algorithm

(2017) XiaoHong Han et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain

(2017) Ruikai Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

(2016) Korsuk Sirinukunwattana et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

(2016) Geert Litjens et al.   Scientific Reports

Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens

(2015) Joann G. Elmore et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Color Graphs for Automated Cancer Diagnosis and Grading

(2009) D. Altunbay et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Do we see what we think we see? The complexities of morphological assessment

(2009) Peter W Hamilton et al.   JOURNAL OF PATHOLOGY